Overview

Dataset statistics

Number of variables30
Number of observations1765
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory463.8 KiB
Average record size in memory269.1 B

Variable types

Numeric29
Categorical1

Dataset

DescriptionSKT사에서 제공하는 데이터(2019. 1. ~ 계속)로 월별 충청남도내 시군 단위로 기준연월일, 시군구명, 연령별유동인구(남성/여성 구분, 10세미만~70세이상 5세단위) 컬럼으로 구성되어 있습니다. 50*50m격자형태의 원데이터에서 시군단위로 가공한 자료로 민간에서도 다운로드 받아 사용할 수 있으며, 상업적인 용도로 사용은 금합니다. 보다 상세한 데이터는 SKT사로부터 구매후 이용가능합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3127

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:44:17.537425
Analysis finished2024-01-09 20:44:18.008598
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월일
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209954
Minimum20190101
Maximum20231031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:18.073765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190101
5-th percentile20190330
Q120200317
median20210601
Q320220816
95-th percentile20230804
Maximum20231031
Range40930
Interquartile range (IQR)20499

Descriptive statistics

Standard deviation13858.585
Coefficient of variation (CV)0.00068573064
Kurtosis-1.2604638
Mean20209954
Median Absolute Deviation (MAD)10230
Skewness0.04267975
Sum3.5670569 × 1010
Variance1.9206037 × 108
MonotonicityStrictly increasing
2024-01-10T05:44:18.200008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190101 1
 
0.1%
20220319 1
 
0.1%
20220330 1
 
0.1%
20220329 1
 
0.1%
20220328 1
 
0.1%
20220327 1
 
0.1%
20220326 1
 
0.1%
20220325 1
 
0.1%
20220324 1
 
0.1%
20220323 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
20190101 1
0.1%
20190102 1
0.1%
20190103 1
0.1%
20190104 1
0.1%
20190105 1
0.1%
20190106 1
0.1%
20190107 1
0.1%
20190108 1
0.1%
20190109 1
0.1%
20190110 1
0.1%
ValueCountFrequency (%)
20231031 1
0.1%
20231030 1
0.1%
20231029 1
0.1%
20231028 1
0.1%
20231027 1
0.1%
20231026 1
0.1%
20231025 1
0.1%
20231024 1
0.1%
20231023 1
0.1%
20231022 1
0.1%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.9 KiB
홍성군
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row홍성군
2nd row홍성군
3rd row홍성군
4th row홍성군
5th row홍성군

Common Values

ValueCountFrequency (%)
홍성군 1765
100.0%

Length

2024-01-10T05:44:18.320479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:44:18.401596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍성군 1765
100.0%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10545.687
Minimum3677.47
Maximum29773.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:18.500022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3677.47
5-th percentile5910.94
Q18719.05
median10322.46
Q312347.97
95-th percentile15196.39
Maximum29773.56
Range26096.09
Interquartile range (IQR)3628.92

Descriptive statistics

Standard deviation2870.682
Coefficient of variation (CV)0.27221384
Kurtosis1.6979149
Mean10545.687
Median Absolute Deviation (MAD)1792.02
Skewness0.54837002
Sum18613138
Variance8240815.3
MonotonicityNot monotonic
2024-01-10T05:44:18.622254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14115.12 2
 
0.1%
19536.51 1
 
0.1%
10831.96 1
 
0.1%
11601.45 1
 
0.1%
11603.82 1
 
0.1%
11108.22 1
 
0.1%
10892.4 1
 
0.1%
11726.25 1
 
0.1%
11894.28 1
 
0.1%
11548.08 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
3677.47 1
0.1%
3743.43 1
0.1%
3889.85 1
0.1%
3911.96 1
0.1%
3915.42 1
0.1%
4025.94 1
0.1%
4292.05 1
0.1%
4300.59 1
0.1%
4392.68 1
0.1%
4432.31 1
0.1%
ValueCountFrequency (%)
29773.56 1
0.1%
26879.97 1
0.1%
21417.55 1
0.1%
21337.79 1
0.1%
20586.47 1
0.1%
20368.91 1
0.1%
20343.78 1
0.1%
20312.13 1
0.1%
19727.39 1
0.1%
19536.51 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7976.1339
Minimum3623.32
Maximum46404.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:18.774456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3623.32
5-th percentile5185.466
Q16456.81
median7818.73
Q38994.54
95-th percentile11197.62
Maximum46404.32
Range42781
Interquartile range (IQR)2537.73

Descriptive statistics

Standard deviation2412.836
Coefficient of variation (CV)0.30250696
Kurtosis52.653303
Mean7976.1339
Median Absolute Deviation (MAD)1278.23
Skewness4.6119934
Sum14077876
Variance5821777.6
MonotonicityNot monotonic
2024-01-10T05:44:19.153047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9744.86 2
 
0.1%
10039.22 2
 
0.1%
15658.26 1
 
0.1%
6436.45 1
 
0.1%
7200.0 1
 
0.1%
7678.77 1
 
0.1%
7496.28 1
 
0.1%
7221.01 1
 
0.1%
7645.63 1
 
0.1%
6995.74 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
3623.32 1
0.1%
3822.28 1
0.1%
3926.54 1
0.1%
4148.43 1
0.1%
4515.29 1
0.1%
4568.58 1
0.1%
4661.96 1
0.1%
4679.16 1
0.1%
4692.83 1
0.1%
4703.23 1
0.1%
ValueCountFrequency (%)
46404.32 1
0.1%
33134.82 1
0.1%
31582.76 1
0.1%
26953.63 1
0.1%
26362.22 1
0.1%
20002.73 1
0.1%
19642.75 1
0.1%
18986.32 1
0.1%
18969.29 1
0.1%
17948.98 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15200.009
Minimum8358.72
Maximum74551.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:19.267359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8358.72
5-th percentile11453.698
Q113756.36
median15222.24
Q316515.22
95-th percentile18409.702
Maximum74551.86
Range66193.14
Interquartile range (IQR)2758.86

Descriptive statistics

Standard deviation2776.1958
Coefficient of variation (CV)0.18264436
Kurtosis132.18192
Mean15200.009
Median Absolute Deviation (MAD)1375.45
Skewness7.0824564
Sum26828016
Variance7707263.3
MonotonicityNot monotonic
2024-01-10T05:44:19.415475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13669.69 2
 
0.1%
14899.29 2
 
0.1%
14504.99 1
 
0.1%
15256.47 1
 
0.1%
13502.26 1
 
0.1%
14490.35 1
 
0.1%
15053.86 1
 
0.1%
14461.8 1
 
0.1%
16040.08 1
 
0.1%
15244.33 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8358.72 1
0.1%
9055.46 1
0.1%
9337.43 1
0.1%
9482.22 1
0.1%
9617.73 1
0.1%
9629.92 1
0.1%
9704.09 1
0.1%
9765.29 1
0.1%
9888.31 1
0.1%
9955.59 1
0.1%
ValueCountFrequency (%)
74551.86 1
0.1%
47024.53 1
0.1%
39203.55 1
0.1%
35964.19 1
0.1%
28205.35 1
0.1%
26507.19 1
0.1%
24463.99 1
0.1%
23605.72 1
0.1%
23407.3 1
0.1%
22880.98 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18309.191
Minimum8639.77
Maximum54319.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:19.564942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8639.77
5-th percentile14221.42
Q116464.61
median18209.73
Q319967.92
95-th percentile22671.774
Maximum54319.5
Range45679.73
Interquartile range (IQR)3503.31

Descriptive statistics

Standard deviation2824.131
Coefficient of variation (CV)0.15424663
Kurtosis17.94587
Mean18309.191
Median Absolute Deviation (MAD)1757.18
Skewness1.8778373
Sum32315722
Variance7975715.9
MonotonicityNot monotonic
2024-01-10T05:44:19.707645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20953.52 2
 
0.1%
19966.91 2
 
0.1%
19939.35 2
 
0.1%
17286.91 2
 
0.1%
14654.91 2
 
0.1%
16791.92 2
 
0.1%
19403.73 1
 
0.1%
17719.94 1
 
0.1%
19378.66 1
 
0.1%
17123.26 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
8639.77 1
0.1%
9854.09 1
0.1%
11686.73 1
0.1%
11890.49 1
0.1%
12219.29 1
0.1%
12332.23 1
0.1%
12788.7 1
0.1%
12812.18 1
0.1%
12868.58 1
0.1%
12891.57 1
0.1%
ValueCountFrequency (%)
54319.5 1
0.1%
41440.16 1
0.1%
32464.82 1
0.1%
31381.25 1
0.1%
29794.35 1
0.1%
29589.86 1
0.1%
29549.55 1
0.1%
29302.32 1
0.1%
29136.07 1
0.1%
28033.26 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15371.78
Minimum8383.7
Maximum40328.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:19.851494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8383.7
5-th percentile12991.478
Q114352.48
median15302.77
Q316246.57
95-th percentile17574.344
Maximum40328.46
Range31944.76
Interquartile range (IQR)1894.09

Descriptive statistics

Standard deviation1807.6591
Coefficient of variation (CV)0.11759595
Kurtosis30.809658
Mean15371.78
Median Absolute Deviation (MAD)950.27
Skewness3.0276647
Sum27131191
Variance3267631.5
MonotonicityNot monotonic
2024-01-10T05:44:20.017658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13318.87 2
 
0.1%
14352.48 2
 
0.1%
14715.48 2
 
0.1%
15798.41 2
 
0.1%
14557.72 1
 
0.1%
15982.63 1
 
0.1%
15561.86 1
 
0.1%
13587.62 1
 
0.1%
14650.26 1
 
0.1%
16530.63 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
8383.7 1
0.1%
9625.53 1
0.1%
10212.42 1
0.1%
10304.31 1
0.1%
11137.39 1
0.1%
11156.19 1
0.1%
11164.52 1
0.1%
11223.35 1
0.1%
11359.05 1
0.1%
11399.64 1
0.1%
ValueCountFrequency (%)
40328.46 1
0.1%
33624.01 1
0.1%
27720.04 1
0.1%
26613.91 1
0.1%
25988.76 1
0.1%
25068.39 1
0.1%
24750.64 1
0.1%
24395.28 1
0.1%
24385.32 1
0.1%
23458.58 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17441.921
Minimum9981.72
Maximum34831.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:20.170710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9981.72
5-th percentile14463.244
Q116449.46
median17496.23
Q318546.11
95-th percentile19755.59
Maximum34831.3
Range24849.58
Interquartile range (IQR)2096.65

Descriptive statistics

Standard deviation1849.3832
Coefficient of variation (CV)0.10603094
Kurtosis8.1076431
Mean17441.921
Median Absolute Deviation (MAD)1049.88
Skewness0.85631951
Sum30784990
Variance3420218.2
MonotonicityNot monotonic
2024-01-10T05:44:20.299334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17524.16 2
 
0.1%
17459.13 2
 
0.1%
15499.39 1
 
0.1%
18983.56 1
 
0.1%
18463.66 1
 
0.1%
17844.06 1
 
0.1%
18781.47 1
 
0.1%
18312.68 1
 
0.1%
16120.21 1
 
0.1%
16772.88 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
9981.72 1
0.1%
11085.45 1
0.1%
11529.69 1
0.1%
11593.86 1
0.1%
11765.26 1
0.1%
11877.15 1
0.1%
12199.83 1
0.1%
12244.17 1
0.1%
12269.95 1
0.1%
12282.86 1
0.1%
ValueCountFrequency (%)
34831.3 1
0.1%
29753.82 1
0.1%
28913.96 1
0.1%
27629.26 1
0.1%
27113.39 1
0.1%
26724.42 1
0.1%
26412.45 1
0.1%
25124.56 1
0.1%
24413.44 1
0.1%
24165.88 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19470.316
Minimum10859.53
Maximum30054.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:20.446057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10859.53
5-th percentile16055.072
Q118295.82
median19475.04
Q320730.62
95-th percentile22492.106
Maximum30054.73
Range19195.2
Interquartile range (IQR)2434.8

Descriptive statistics

Standard deviation2067.1855
Coefficient of variation (CV)0.10617113
Kurtosis2.316214
Mean19470.316
Median Absolute Deviation (MAD)1216.61
Skewness0.14823725
Sum34365108
Variance4273255.8
MonotonicityNot monotonic
2024-01-10T05:44:20.586691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17738.27 2
 
0.1%
19403.13 2
 
0.1%
19057.64 2
 
0.1%
20426.99 2
 
0.1%
20822.13 2
 
0.1%
16182.3 1
 
0.1%
20495.96 1
 
0.1%
20350.51 1
 
0.1%
17407.09 1
 
0.1%
18700.8 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
10859.53 1
0.1%
11000.59 1
0.1%
12417.37 1
0.1%
12863.82 1
0.1%
12975.15 1
0.1%
13261.65 1
0.1%
13451.05 1
0.1%
13548.28 1
0.1%
13569.4 1
0.1%
13646.45 1
0.1%
ValueCountFrequency (%)
30054.73 1
0.1%
29788.13 1
0.1%
29140.03 1
0.1%
29000.06 1
0.1%
28648.85 1
0.1%
28364.43 1
0.1%
27603.33 1
0.1%
27128.37 1
0.1%
26804.49 1
0.1%
26781.74 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25200.559
Minimum11927.5
Maximum36681.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:20.720016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11927.5
5-th percentile19448.34
Q123488.81
median25522.83
Q327229.39
95-th percentile29600.468
Maximum36681.51
Range24754.01
Interquartile range (IQR)3740.58

Descriptive statistics

Standard deviation3073.8722
Coefficient of variation (CV)0.12197635
Kurtosis0.66275798
Mean25200.559
Median Absolute Deviation (MAD)1859.76
Skewness-0.39477793
Sum44478986
Variance9448690
MonotonicityNot monotonic
2024-01-10T05:44:20.843056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24701.41 2
 
0.1%
28702.47 2
 
0.1%
26324.5 2
 
0.1%
17377.98 1
 
0.1%
27514.87 1
 
0.1%
27715.27 1
 
0.1%
27354.35 1
 
0.1%
22864.13 1
 
0.1%
24618.4 1
 
0.1%
27415.88 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
11927.5 1
0.1%
15461.58 1
0.1%
15500.53 1
0.1%
15692.97 1
0.1%
15700.61 1
0.1%
15938.77 1
0.1%
16170.87 1
0.1%
16291.31 1
0.1%
16340.2 1
0.1%
16468.89 1
0.1%
ValueCountFrequency (%)
36681.51 1
0.1%
35932.26 1
0.1%
35731.72 1
0.1%
35716.47 1
0.1%
35176.79 1
0.1%
34632.83 1
0.1%
33679.28 1
0.1%
33449.24 1
0.1%
33408.41 1
0.1%
33374.01 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26887.371
Minimum13801.32
Maximum38812.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:20.966912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13801.32
5-th percentile20893.042
Q125062.68
median27282.11
Q329093.65
95-th percentile31425.526
Maximum38812.49
Range25011.17
Interquartile range (IQR)4030.97

Descriptive statistics

Standard deviation3235.2706
Coefficient of variation (CV)0.12032677
Kurtosis0.48190324
Mean26887.371
Median Absolute Deviation (MAD)1991.09
Skewness-0.46533762
Sum47456210
Variance10466976
MonotonicityNot monotonic
2024-01-10T05:44:21.089369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25931.67 2
 
0.1%
27781.35 2
 
0.1%
26877.18 2
 
0.1%
28458.69 2
 
0.1%
24665.23 2
 
0.1%
29495.99 1
 
0.1%
28401.99 1
 
0.1%
29946.68 1
 
0.1%
29597.87 1
 
0.1%
24427.08 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
13801.32 1
0.1%
16361.69 1
0.1%
16740.04 1
0.1%
17090.38 1
0.1%
17234.68 1
0.1%
17428.89 1
0.1%
17456.09 1
0.1%
17589.68 1
0.1%
17671.12 1
0.1%
17787.22 1
0.1%
ValueCountFrequency (%)
38812.49 1
0.1%
38669.54 1
0.1%
36621.01 1
0.1%
36326.14 1
0.1%
35936.33 1
0.1%
35880.89 1
0.1%
35455.25 1
0.1%
35238.59 1
0.1%
35065.86 1
0.1%
34999.01 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28040.49
Minimum14320.42
Maximum38914.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:21.221313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14320.42
5-th percentile21854.726
Q125945.09
median28173.02
Q330645.58
95-th percentile33261.184
Maximum38914.24
Range24593.82
Interquartile range (IQR)4700.49

Descriptive statistics

Standard deviation3475.4374
Coefficient of variation (CV)0.12394353
Kurtosis-0.093932688
Mean28040.49
Median Absolute Deviation (MAD)2329.3
Skewness-0.36061231
Sum49491465
Variance12078665
MonotonicityNot monotonic
2024-01-10T05:44:21.372954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30863.69 2
 
0.1%
29297.86 2
 
0.1%
28621.69 2
 
0.1%
32395.96 1
 
0.1%
29705.83 1
 
0.1%
31065.26 1
 
0.1%
32496.74 1
 
0.1%
31041.15 1
 
0.1%
30903.38 1
 
0.1%
31795.71 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
14320.42 1
0.1%
17161.51 1
0.1%
17916.1 1
0.1%
18116.44 1
0.1%
18139.99 1
0.1%
18563.62 1
0.1%
18609.12 1
0.1%
18802.53 1
0.1%
18804.24 1
0.1%
18895.08 1
0.1%
ValueCountFrequency (%)
38914.24 1
0.1%
37080.69 1
0.1%
36939.84 1
0.1%
36157.78 1
0.1%
35950.6 1
0.1%
35737.6 1
0.1%
35731.52 1
0.1%
35716.39 1
0.1%
35686.74 1
0.1%
35396.01 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25672.262
Minimum12823.92
Maximum31976.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:21.526546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12823.92
5-th percentile20441.684
Q123950.63
median25997.94
Q327718.11
95-th percentile29742.84
Maximum31976.32
Range19152.4
Interquartile range (IQR)3767.48

Descriptive statistics

Standard deviation2829.389
Coefficient of variation (CV)0.11021191
Kurtosis0.15229887
Mean25672.262
Median Absolute Deviation (MAD)1851.67
Skewness-0.56134811
Sum45311542
Variance8005441.9
MonotonicityNot monotonic
2024-01-10T05:44:21.690998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25508.43 2
 
0.1%
17600.98 1
 
0.1%
24503.63 1
 
0.1%
27885.98 1
 
0.1%
29222.7 1
 
0.1%
28904.61 1
 
0.1%
22956.02 1
 
0.1%
25365.22 1
 
0.1%
27516.67 1
 
0.1%
28412.28 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12823.92 1
0.1%
16099.93 1
0.1%
16471.37 1
0.1%
16833.24 1
0.1%
16946.73 1
0.1%
17473.37 1
0.1%
17495.53 1
0.1%
17533.76 1
0.1%
17555.67 1
0.1%
17600.98 1
0.1%
ValueCountFrequency (%)
31976.32 1
0.1%
31940.29 1
0.1%
31778.72 1
0.1%
31645.21 1
0.1%
31518.48 1
0.1%
31506.48 1
0.1%
31478.94 1
0.1%
31446.8 1
0.1%
31242.48 1
0.1%
31201.34 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18973.97
Minimum8593.78
Maximum23848.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:21.842239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8593.78
5-th percentile14644.902
Q117407.87
median19081.77
Q320932.43
95-th percentile22442.206
Maximum23848.86
Range15255.08
Interquartile range (IQR)3524.56

Descriptive statistics

Standard deviation2405.7507
Coefficient of variation (CV)0.12679216
Kurtosis-0.26023872
Mean18973.97
Median Absolute Deviation (MAD)1773.1
Skewness-0.4303354
Sum33489057
Variance5787636.4
MonotonicityNot monotonic
2024-01-10T05:44:21.995255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17891.81 3
 
0.2%
19840.28 2
 
0.1%
16480.22 2
 
0.1%
11571.77 1
 
0.1%
21711.61 1
 
0.1%
20887.67 1
 
0.1%
22440.11 1
 
0.1%
21838.24 1
 
0.1%
18337.2 1
 
0.1%
20015.27 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
8593.78 1
0.1%
11217.06 1
0.1%
11571.77 1
0.1%
11642.59 1
0.1%
11684.48 1
0.1%
11848.19 1
0.1%
12440.94 1
0.1%
12572.16 1
0.1%
12642.92 1
0.1%
12679.71 1
0.1%
ValueCountFrequency (%)
23848.86 1
0.1%
23829.0 1
0.1%
23796.79 1
0.1%
23593.68 1
0.1%
23540.7 1
0.1%
23512.55 1
0.1%
23488.45 1
0.1%
23476.22 1
0.1%
23462.12 1
0.1%
23430.06 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14165.77
Minimum5834.6
Maximum18665.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:22.152361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5834.6
5-th percentile10526.016
Q112926.72
median14254.91
Q315770.18
95-th percentile17049.336
Maximum18665.78
Range12831.18
Interquartile range (IQR)2843.46

Descriptive statistics

Standard deviation1999.717
Coefficient of variation (CV)0.14116542
Kurtosis-0.13381654
Mean14165.77
Median Absolute Deviation (MAD)1423.11
Skewness-0.47813557
Sum25002584
Variance3998867.9
MonotonicityNot monotonic
2024-01-10T05:44:22.306039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16032.59 2
 
0.1%
14765.68 2
 
0.1%
13710.12 2
 
0.1%
7406.34 1
 
0.1%
13324.86 1
 
0.1%
16621.45 1
 
0.1%
16477.05 1
 
0.1%
13673.32 1
 
0.1%
14361.3 1
 
0.1%
15886.54 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
5834.6 1
0.1%
7406.34 1
0.1%
7646.63 1
0.1%
7732.39 1
0.1%
7760.35 1
0.1%
8210.19 1
0.1%
8538.81 1
0.1%
8737.06 1
0.1%
8821.3 1
0.1%
8883.79 1
0.1%
ValueCountFrequency (%)
18665.78 1
0.1%
18018.97 1
0.1%
18007.94 1
0.1%
17973.13 1
0.1%
17966.4 1
0.1%
17949.28 1
0.1%
17937.16 1
0.1%
17935.31 1
0.1%
17921.81 1
0.1%
17892.95 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20573.785
Minimum6905.85
Maximum28149.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:22.460638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6905.85
5-th percentile13683.4
Q118975.26
median20983.69
Q322924.81
95-th percentile25010.338
Maximum28149.97
Range21244.12
Interquartile range (IQR)3949.55

Descriptive statistics

Standard deviation3282.9583
Coefficient of variation (CV)0.15956998
Kurtosis1.0488089
Mean20573.785
Median Absolute Deviation (MAD)1978.61
Skewness-0.92559348
Sum36312730
Variance10777815
MonotonicityNot monotonic
2024-01-10T05:44:22.602384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23236.15 2
 
0.1%
23778.75 2
 
0.1%
23300.57 2
 
0.1%
18915.57 1
 
0.1%
21663.08 1
 
0.1%
24114.35 1
 
0.1%
24097.83 1
 
0.1%
19448.39 1
 
0.1%
19650.24 1
 
0.1%
22652.26 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
6905.85 1
0.1%
7342.71 1
0.1%
8636.81 1
0.1%
8726.36 1
0.1%
8827.29 1
0.1%
10026.68 1
0.1%
10051.07 1
0.1%
10073.74 1
0.1%
10126.04 1
0.1%
10320.53 1
0.1%
ValueCountFrequency (%)
28149.97 1
0.1%
27384.77 1
0.1%
27141.15 1
0.1%
27087.54 1
0.1%
27035.15 1
0.1%
26830.38 1
0.1%
26754.52 1
0.1%
26612.18 1
0.1%
26505.87 1
0.1%
26400.73 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11040.11
Minimum3922.33
Maximum31375.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:22.749862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3922.33
5-th percentile6159.852
Q18962.68
median10787.07
Q313117.38
95-th percentile16200.972
Maximum31375.22
Range27452.89
Interquartile range (IQR)4154.7

Descriptive statistics

Standard deviation3036.5448
Coefficient of variation (CV)0.2750466
Kurtosis0.80564785
Mean11040.11
Median Absolute Deviation (MAD)2019.44
Skewness0.42034519
Sum19485795
Variance9220604.3
MonotonicityNot monotonic
2024-01-10T05:44:22.895387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9446.79 2
 
0.1%
9403.16 1
 
0.1%
13037.99 1
 
0.1%
12216.47 1
 
0.1%
12717.89 1
 
0.1%
11048.09 1
 
0.1%
11186.8 1
 
0.1%
13233.54 1
 
0.1%
12625.26 1
 
0.1%
12113.13 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
3922.33 1
0.1%
4074.41 1
0.1%
4247.13 1
0.1%
4298.0 1
0.1%
4367.58 1
0.1%
4373.99 1
0.1%
4446.05 1
0.1%
4495.2 1
0.1%
4597.65 1
0.1%
4613.65 1
0.1%
ValueCountFrequency (%)
31375.22 1
0.1%
23036.83 1
0.1%
21318.54 1
0.1%
20366.94 1
0.1%
20323.17 1
0.1%
20310.07 1
0.1%
20000.22 1
0.1%
19414.73 1
0.1%
19292.03 1
0.1%
19123.23 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7756.9297
Minimum3723.51
Maximum34071.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:23.304161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3723.51
5-th percentile5365.028
Q16515.52
median7654.65
Q38676.27
95-th percentile10381.496
Maximum34071.71
Range30348.2
Interquartile range (IQR)2160.75

Descriptive statistics

Standard deviation1910.965
Coefficient of variation (CV)0.24635585
Kurtosis30.672902
Mean7756.9297
Median Absolute Deviation (MAD)1086.5
Skewness3.2427388
Sum13690981
Variance3651787.4
MonotonicityNot monotonic
2024-01-10T05:44:23.424099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7837.29 2
 
0.1%
5668.56 2
 
0.1%
5638.48 2
 
0.1%
7179.41 1
 
0.1%
6630.07 1
 
0.1%
7073.66 1
 
0.1%
6817.68 1
 
0.1%
7454.75 1
 
0.1%
7497.45 1
 
0.1%
7145.03 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
3723.51 1
0.1%
4162.76 1
0.1%
4202.8 1
0.1%
4248.55 1
0.1%
4251.94 1
0.1%
4258.4 1
0.1%
4321.64 1
0.1%
4385.09 1
0.1%
4478.36 1
0.1%
4484.72 1
0.1%
ValueCountFrequency (%)
34071.71 1
0.1%
25506.22 1
0.1%
24531.14 1
0.1%
21387.41 1
0.1%
19987.54 1
0.1%
16998.84 1
0.1%
16920.57 1
0.1%
16253.62 1
0.1%
15690.6 1
0.1%
15665.5 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13631.663
Minimum6798.49
Maximum65747.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:23.548092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6798.49
5-th percentile9494.048
Q111957.39
median13805.15
Q315175.55
95-th percentile17126.914
Maximum65747.1
Range58948.61
Interquartile range (IQR)3218.16

Descriptive statistics

Standard deviation2792.9994
Coefficient of variation (CV)0.20489058
Kurtosis77.614269
Mean13631.663
Median Absolute Deviation (MAD)1558.6
Skewness4.6407269
Sum24059885
Variance7800845.5
MonotonicityNot monotonic
2024-01-10T05:44:23.663003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17190.27 2
 
0.1%
11803.44 2
 
0.1%
14755.85 2
 
0.1%
13990.21 2
 
0.1%
12526.48 1
 
0.1%
14762.32 1
 
0.1%
14410.19 1
 
0.1%
15034.71 1
 
0.1%
15418.51 1
 
0.1%
14767.01 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
6798.49 1
0.1%
7080.4 1
0.1%
7429.33 1
0.1%
7435.76 1
0.1%
7574.6 1
0.1%
7716.09 1
0.1%
7812.06 1
0.1%
7881.03 1
0.1%
7980.82 1
0.1%
7999.45 1
0.1%
ValueCountFrequency (%)
65747.1 1
0.1%
44122.05 1
0.1%
32335.22 1
0.1%
31715.62 1
0.1%
24920.18 1
0.1%
22691.37 1
0.1%
20607.86 1
0.1%
20200.02 1
0.1%
20134.04 1
0.1%
20012.48 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15423.983
Minimum6339.79
Maximum57313.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:23.782385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6339.79
5-th percentile11624.118
Q113367.98
median15280.86
Q317126.39
95-th percentile19963.526
Maximum57313.64
Range50973.85
Interquartile range (IQR)3758.41

Descriptive statistics

Standard deviation2910.0082
Coefficient of variation (CV)0.18866775
Kurtosis29.176668
Mean15423.983
Median Absolute Deviation (MAD)1898.02
Skewness2.6416656
Sum27223330
Variance8468147.5
MonotonicityNot monotonic
2024-01-10T05:44:23.913956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16869.04 2
 
0.1%
14201.51 1
 
0.1%
17350.48 1
 
0.1%
16876.49 1
 
0.1%
18207.5 1
 
0.1%
17465.6 1
 
0.1%
14343.43 1
 
0.1%
14400.05 1
 
0.1%
15857.56 1
 
0.1%
18287.85 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
6339.79 1
0.1%
7786.14 1
0.1%
9406.13 1
0.1%
9486.3 1
0.1%
9878.96 1
0.1%
9893.42 1
0.1%
10034.76 1
0.1%
10077.96 1
0.1%
10228.26 1
0.1%
10387.92 1
0.1%
ValueCountFrequency (%)
57313.64 1
0.1%
43237.39 1
0.1%
31026.16 1
0.1%
30259.29 1
0.1%
28039.02 1
0.1%
25538.43 1
0.1%
25407.73 1
0.1%
24849.78 1
0.1%
24693.97 1
0.1%
24574.02 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10949.707
Minimum5171.73
Maximum39875.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:24.033805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5171.73
5-th percentile9090.036
Q19940.11
median10831.4
Q311567.46
95-th percentile13278.154
Maximum39875.8
Range34704.07
Interquartile range (IQR)1627.35

Descriptive statistics

Standard deviation1767.8252
Coefficient of variation (CV)0.16144954
Kurtosis60.72935
Mean10949.707
Median Absolute Deviation (MAD)815.37
Skewness5.109235
Sum19326234
Variance3125206.1
MonotonicityNot monotonic
2024-01-10T05:44:24.161178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11547.05 2
 
0.1%
9971.62 2
 
0.1%
11082.45 2
 
0.1%
9635.32 2
 
0.1%
19053.33 1
 
0.1%
10500.35 1
 
0.1%
11323.27 1
 
0.1%
10664.25 1
 
0.1%
10702.98 1
 
0.1%
11372.68 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
5171.73 1
0.1%
6624.68 1
0.1%
6791.07 1
0.1%
7644.72 1
0.1%
7802.08 1
0.1%
7825.36 1
0.1%
7946.26 1
0.1%
7950.68 1
0.1%
8006.87 1
0.1%
8113.39 1
0.1%
ValueCountFrequency (%)
39875.8 1
0.1%
33175.22 1
0.1%
24781.63 1
0.1%
23039.62 1
0.1%
21623.38 1
0.1%
20929.65 1
0.1%
20287.39 1
0.1%
19735.37 1
0.1%
19510.83 1
0.1%
19308.08 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13720.911
Minimum7197.41
Maximum37600.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:24.278630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7197.41
5-th percentile11223.746
Q112626.27
median13684.81
Q314570.96
95-th percentile16332.652
Maximum37600.07
Range30402.66
Interquartile range (IQR)1944.69

Descriptive statistics

Standard deviation1890.6174
Coefficient of variation (CV)0.13779096
Kurtosis23.439745
Mean13720.911
Median Absolute Deviation (MAD)990.83
Skewness2.6957682
Sum24217408
Variance3574434.2
MonotonicityNot monotonic
2024-01-10T05:44:24.407038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14704.17 2
 
0.1%
14343.16 2
 
0.1%
11703.82 2
 
0.1%
13859.74 2
 
0.1%
14300.15 1
 
0.1%
13871.08 1
 
0.1%
13359.11 1
 
0.1%
13068.65 1
 
0.1%
13248.42 1
 
0.1%
13906.05 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
7197.41 1
0.1%
7561.72 1
0.1%
8849.86 1
0.1%
9272.97 1
0.1%
9302.3 1
0.1%
9408.07 1
0.1%
9410.12 1
0.1%
9460.52 1
0.1%
9511.35 1
0.1%
9747.93 1
0.1%
ValueCountFrequency (%)
37600.07 1
0.1%
32246.74 1
0.1%
26412.53 1
0.1%
24564.28 1
0.1%
24049.09 1
0.1%
23823.74 1
0.1%
23705.31 1
0.1%
22437.67 1
0.1%
22167.34 1
0.1%
22119.77 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17171.442
Minimum9043.22
Maximum36412.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:24.560250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9043.22
5-th percentile13965.812
Q115788.59
median17160.84
Q318472.53
95-th percentile20226.01
Maximum36412.56
Range27369.34
Interquartile range (IQR)2683.94

Descriptive statistics

Standard deviation2147.8065
Coefficient of variation (CV)0.12508015
Kurtosis5.8846054
Mean17171.442
Median Absolute Deviation (MAD)1338.03
Skewness0.87862554
Sum30307595
Variance4613072.8
MonotonicityNot monotonic
2024-01-10T05:44:24.704598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16819.85 2
 
0.1%
18407.02 2
 
0.1%
18376.95 1
 
0.1%
15483.12 1
 
0.1%
17897.82 1
 
0.1%
17907.46 1
 
0.1%
15843.92 1
 
0.1%
16735.71 1
 
0.1%
17848.06 1
 
0.1%
17774.77 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
9043.22 1
0.1%
9742.37 1
0.1%
11001.11 1
0.1%
11060.49 1
0.1%
11067.31 1
0.1%
11222.75 1
0.1%
11475.89 1
0.1%
11558.29 1
0.1%
11744.28 1
0.1%
11811.38 1
0.1%
ValueCountFrequency (%)
36412.56 1
0.1%
31109.01 1
0.1%
27789.31 1
0.1%
27205.72 1
0.1%
26045.85 1
0.1%
25985.28 1
0.1%
25879.3 1
0.1%
25672.94 1
0.1%
25522.68 1
0.1%
25402.32 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20523.162
Minimum9999.47
Maximum34625.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:24.831652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9999.47
5-th percentile16010.934
Q118554.61
median20526.69
Q322572.2
95-th percentile24495.674
Maximum34625.2
Range24625.73
Interquartile range (IQR)4017.59

Descriptive statistics

Standard deviation2770.3185
Coefficient of variation (CV)0.13498497
Kurtosis0.54893115
Mean20523.162
Median Absolute Deviation (MAD)2025.55
Skewness0.089947607
Sum36223382
Variance7674664.4
MonotonicityNot monotonic
2024-01-10T05:44:24.962784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19436.28 2
 
0.1%
23469.71 2
 
0.1%
18227.4 1
 
0.1%
17787.6 1
 
0.1%
20723.67 1
 
0.1%
21942.88 1
 
0.1%
21443.31 1
 
0.1%
19280.39 1
 
0.1%
20053.88 1
 
0.1%
21885.61 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
9999.47 1
0.1%
12459.75 1
0.1%
12494.5 1
0.1%
12678.62 1
0.1%
12738.57 1
0.1%
13122.65 1
0.1%
13311.38 1
0.1%
13466.44 1
0.1%
13485.12 1
0.1%
13572.67 1
0.1%
ValueCountFrequency (%)
34625.2 1
0.1%
32311.32 1
0.1%
31601.77 1
0.1%
30120.33 1
0.1%
29866.35 1
0.1%
29808.45 1
0.1%
29763.07 1
0.1%
29641.81 1
0.1%
29466.89 1
0.1%
29431.99 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20975.362
Minimum9924.38
Maximum33133.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:25.099210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9924.38
5-th percentile16377.832
Q119138
median20974.3
Q323060.69
95-th percentile24733.23
Maximum33133.36
Range23208.98
Interquartile range (IQR)3922.69

Descriptive statistics

Standard deviation2666.69
Coefficient of variation (CV)0.1271344
Kurtosis0.20275755
Mean20975.362
Median Absolute Deviation (MAD)1955.06
Skewness-0.10028794
Sum37021513
Variance7111235.7
MonotonicityNot monotonic
2024-01-10T05:44:25.236057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23287.63 2
 
0.1%
22128.07 2
 
0.1%
19131.54 2
 
0.1%
17074.4 1
 
0.1%
20139.89 1
 
0.1%
21676.43 1
 
0.1%
21943.83 1
 
0.1%
19089.2 1
 
0.1%
20631.54 1
 
0.1%
22277.63 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
9924.38 1
0.1%
12598.17 1
0.1%
12717.76 1
0.1%
12994.13 1
0.1%
13610.79 1
0.1%
14068.37 1
0.1%
14174.71 1
0.1%
14392.72 1
0.1%
14520.99 1
0.1%
14537.34 1
0.1%
ValueCountFrequency (%)
33133.36 1
0.1%
31855.69 1
0.1%
30751.03 1
0.1%
29439.8 1
0.1%
29391.27 1
0.1%
29259.81 1
0.1%
28749.83 1
0.1%
28601.05 1
0.1%
28275.37 1
0.1%
28211.77 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21949.331
Minimum10662.59
Maximum29941.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:25.385988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10662.59
5-th percentile17688.484
Q120024.52
median21959.23
Q324067.34
95-th percentile25723.778
Maximum29941.06
Range19278.47
Interquartile range (IQR)4042.82

Descriptive statistics

Standard deviation2581.2757
Coefficient of variation (CV)0.11760156
Kurtosis-0.33036
Mean21949.331
Median Absolute Deviation (MAD)2005.5
Skewness-0.19090468
Sum38740570
Variance6662984.1
MonotonicityNot monotonic
2024-01-10T05:44:25.547542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23764.03 2
 
0.1%
24459.0 2
 
0.1%
18575.82 1
 
0.1%
22505.36 1
 
0.1%
24275.76 1
 
0.1%
21620.32 1
 
0.1%
22016.71 1
 
0.1%
23482.43 1
 
0.1%
23710.92 1
 
0.1%
23540.7 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
10662.59 1
0.1%
13357.32 1
0.1%
13505.43 1
0.1%
14308.99 1
0.1%
14411.65 1
0.1%
15225.49 1
0.1%
15495.87 1
0.1%
15551.45 1
0.1%
15637.92 1
0.1%
15656.39 1
0.1%
ValueCountFrequency (%)
29941.06 1
0.1%
29608.24 1
0.1%
29566.48 1
0.1%
29101.16 1
0.1%
28669.37 1
0.1%
28218.47 1
0.1%
28134.58 1
0.1%
28120.93 1
0.1%
28088.58 1
0.1%
27933.74 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20155.648
Minimum10824.54
Maximum26251.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:25.690243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10824.54
5-th percentile16724.914
Q118787.02
median20139.15
Q321753.63
95-th percentile23342.156
Maximum26251.91
Range15427.37
Interquartile range (IQR)2966.61

Descriptive statistics

Standard deviation2064.9353
Coefficient of variation (CV)0.10244946
Kurtosis0.01735569
Mean20155.648
Median Absolute Deviation (MAD)1498.67
Skewness-0.24291314
Sum35574718
Variance4263957.7
MonotonicityNot monotonic
2024-01-10T05:44:25.818111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19721.95 2
 
0.1%
17733.35 1
 
0.1%
22118.74 1
 
0.1%
19789.79 1
 
0.1%
21326.81 1
 
0.1%
20956.86 1
 
0.1%
19925.67 1
 
0.1%
20498.77 1
 
0.1%
21085.12 1
 
0.1%
21033.09 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
10824.54 1
0.1%
12125.63 1
0.1%
12857.56 1
0.1%
13667.24 1
0.1%
13763.67 1
0.1%
14019.71 1
0.1%
14105.43 1
0.1%
14537.53 1
0.1%
14546.24 1
0.1%
14858.18 1
0.1%
ValueCountFrequency (%)
26251.91 1
0.1%
25905.61 1
0.1%
25721.19 1
0.1%
25383.14 1
0.1%
25316.7 1
0.1%
25262.02 1
0.1%
25110.5 1
0.1%
25001.47 1
0.1%
24991.18 1
0.1%
24987.68 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16046.3
Minimum7813.94
Maximum20836.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:25.948730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7813.94
5-th percentile12870.918
Q114780.95
median16080.25
Q317561.39
95-th percentile18845.248
Maximum20836.36
Range13022.42
Interquartile range (IQR)2780.44

Descriptive statistics

Standard deviation1859.4648
Coefficient of variation (CV)0.11588122
Kurtosis-0.31249924
Mean16046.3
Median Absolute Deviation (MAD)1395.89
Skewness-0.28310412
Sum28321719
Variance3457609.3
MonotonicityNot monotonic
2024-01-10T05:44:26.074780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17255.15 2
 
0.1%
14637.35 2
 
0.1%
11115.92 1
 
0.1%
15351.68 1
 
0.1%
15829.13 1
 
0.1%
17008.65 1
 
0.1%
17176.94 1
 
0.1%
15403.04 1
 
0.1%
16043.71 1
 
0.1%
17046.84 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
7813.94 1
0.1%
9691.4 1
0.1%
10158.23 1
0.1%
10228.98 1
0.1%
10433.17 1
0.1%
10997.71 1
0.1%
11115.92 1
0.1%
11199.34 1
0.1%
11312.2 1
0.1%
11338.96 1
0.1%
ValueCountFrequency (%)
20836.36 1
0.1%
20724.88 1
0.1%
20558.72 1
0.1%
20459.96 1
0.1%
19938.21 1
0.1%
19935.65 1
0.1%
19853.55 1
0.1%
19826.23 1
0.1%
19781.03 1
0.1%
19760.59 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12023.303
Minimum5101.69
Maximum16783.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:26.224577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5101.69
5-th percentile8971.986
Q110852.74
median12005.24
Q313392.91
95-th percentile14770.518
Maximum16783.04
Range11681.35
Interquartile range (IQR)2540.17

Descriptive statistics

Standard deviation1745.5129
Coefficient of variation (CV)0.14517748
Kurtosis-0.31069814
Mean12023.303
Median Absolute Deviation (MAD)1258.45
Skewness-0.24261212
Sum21221130
Variance3046815.2
MonotonicityNot monotonic
2024-01-10T05:44:26.358219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12950.52 2
 
0.1%
14411.75 2
 
0.1%
11010.9 2
 
0.1%
9906.37 2
 
0.1%
13939.73 1
 
0.1%
12801.64 1
 
0.1%
12313.63 1
 
0.1%
13468.25 1
 
0.1%
13261.95 1
 
0.1%
11456.92 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
5101.69 1
0.1%
6479.21 1
0.1%
6785.04 1
0.1%
7142.78 1
0.1%
7169.73 1
0.1%
7373.4 1
0.1%
7453.88 1
0.1%
7469.84 1
0.1%
7505.94 1
0.1%
7516.47 1
0.1%
ValueCountFrequency (%)
16783.04 1
0.1%
16300.12 1
0.1%
16122.55 1
0.1%
16054.87 1
0.1%
15828.97 1
0.1%
15736.65 1
0.1%
15653.29 1
0.1%
15582.46 1
0.1%
15573.59 1
0.1%
15546.75 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25336.761
Minimum9176.92
Maximum34469.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:44:26.753202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9176.92
5-th percentile15928.276
Q123672.77
median25778.11
Q327839.77
95-th percentile30341.566
Maximum34469.69
Range25292.77
Interquartile range (IQR)4167

Descriptive statistics

Standard deviation3815.6623
Coefficient of variation (CV)0.15059787
Kurtosis1.9320473
Mean25336.761
Median Absolute Deviation (MAD)2086.93
Skewness-1.1388515
Sum44719383
Variance14559279
MonotonicityNot monotonic
2024-01-10T05:44:26.873472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28562.67 2
 
0.1%
23529.45 1
 
0.1%
26132.03 1
 
0.1%
28739.46 1
 
0.1%
28186.96 1
 
0.1%
23822.48 1
 
0.1%
24430.85 1
 
0.1%
27025.79 1
 
0.1%
27713.06 1
 
0.1%
26808.73 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
9176.92 1
0.1%
10964.46 1
0.1%
11115.28 1
0.1%
12283.19 1
0.1%
12561.59 1
0.1%
12566.31 1
0.1%
12750.88 1
0.1%
12775.65 1
0.1%
12791.88 1
0.1%
12875.24 1
0.1%
ValueCountFrequency (%)
34469.69 1
0.1%
34191.78 1
0.1%
33819.02 1
0.1%
33596.37 1
0.1%
33570.73 1
0.1%
33343.8 1
0.1%
33086.78 1
0.1%
32657.1 1
0.1%
32637.2 1
0.1%
32605.31 1
0.1%

Sample

기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
020190101홍성군19536.5115658.2621654.7819403.7317567.018296.8715911.9717377.9817671.1218609.1217600.9811571.777406.347342.7119292.0312429.619102.519289.6519053.3319546.3518376.9518227.417074.418575.8217733.3511115.927556.8411115.28
120190102홍성군10644.747601.7915364.4815508.3714514.5817477.2116434.6818796.5520003.8320206.5718535.1711684.487760.358636.8111115.296939.6911401.0812207.3210949.5514765.8914859.6816326.8314727.315942.5415011.0710433.176785.0410964.46
220190103홍성군6003.126537.1411638.515817.014069.4316565.1616640.3818693.3420183.9121610.0419864.7313412.939236.4910697.476922.036324.759968.6612466.010525.3112670.0114169.415627.2915216.4916664.5215938.911455.777700.4212566.31
320190104홍성군7422.258393.2214423.3316563.315088.6116658.6917206.2518866.7120232.1221241.519967.9813165.098920.1510767.888790.068012.9212398.3611980.8112066.3113183.1315591.6616450.4515489.2616880.8616383.5311735.487908.3913285.66
420190105홍성군10553.7712692.2316741.8516437.9214837.5817459.1317354.7919346.1719737.2821224.5520477.913677.088911.9510725.1310234.1110615.1615249.3914545.0413832.6316159.6717730.7117717.3716588.6918673.2917821.0712578.938123.7812750.88
520190106홍성군9558.8611803.6416389.6216412.2613211.8314456.7213945.6115700.6117090.3818895.0819022.2812843.058931.2110417.3510088.0310047.1214785.7513375.4212354.6714398.3914879.3815481.3315653.6917666.9717258.6813166.798084.612561.59
620190107홍성군5810.076601.5314047.0815404.8713621.3516373.3315785.4917975.6219766.0220329.1819182.2513036.899073.2910727.337120.275906.2411512.7612717.910782.2611669.4813843.6814957.214877.716448.3516179.1311695.787169.7312775.65
720190108홍성군5822.026723.6714183.7316083.6413998.9416539.9416542.0318896.7521256.9522187.4120481.7713585.979388.5711715.157113.535875.1910499.7712159.6410638.6612042.6614366.6615921.0515762.9216954.9316797.612049.738242.213706.87
820190109홍성군5827.367075.0513000.1515453.9713594.4116043.0116090.4718018.7620086.8521505.2919437.2713279.438883.7910647.527941.057039.310666.111130.5310383.4711868.2214130.2915653.715332.2416522.5815723.8211903.197469.8413409.41
920190110홍성군6556.578412.1212674.7115255.3313755.5416553.3916630.518949.7920619.6721407.3919406.6713183.058905.0910552.297872.957173.5411730.1711495.4210355.3712125.5414536.915828.2215042.4516186.3716041.6811616.977910.2512875.24
기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
175520231022홍성군13416.789110.2715806.9916027.3113993.015182.0316697.0124489.3126305.6826570.9824979.1119777.7414865.8820417.8214173.098865.2213293.0913379.029749.4512424.3316627.5221452.921283.1422871.321204.9617731.4713161.0125041.61
175620231023홍성군12901.68971.617964.1218539.9515671.4517523.9518955.6727493.2728788.0930504.5527539.2722016.8216782.9723926.7214653.049299.3616676.117485.211398.5613963.3217984.4723128.0322967.8624529.5921252.3218460.0214063.6928743.29
175720231024홍성군13381.779281.9817904.9218986.4615842.9717316.7318816.2727165.0828659.5830580.4928053.6122442.7317050.9224412.4814407.099184.4715352.2518694.8811225.2814304.9617808.4323411.623600.8424944.8322510.2418765.8414493.6229632.92
175820231025홍성군13034.299872.2118358.6619615.8416034.7517431.1519057.6427670.7628837.8630965.3928189.2321997.2616659.7523999.0414367.718894.4615263.6818457.8611605.7114546.517788.0923835.4423776.8925334.9822073.5218319.0414284.9128581.45
175920231026홍성군13528.419131.9417589.8919969.7216113.8917968.8418983.6727159.6828187.130764.8727561.3521926.2216833.2524403.5814082.158040.0214518.1718328.0111580.2814344.7917513.422878.4923269.3324677.3422127.5618262.4914773.5830539.69
176020231027홍성군13933.119290.4218254.1618593.1416436.1618011.1719418.7628164.6429397.1631138.4528556.2322581.8717117.3324523.8515843.59022.6315942.3515528.8311863.5714286.918979.4824253.6824637.5625860.0322162.3118713.6714624.5529391.01
176120231028홍성군15719.0410991.7517531.8217972.5915665.4117771.0619548.2827678.6530031.5631045.1128970.4823025.217108.4323453.8816269.3310672.6514372.8815216.9211407.1714866.119162.8724228.9725029.7726333.4324217.4619935.6515179.5528596.84
176220231029홍성군13982.839325.1416623.4317322.8813873.2215910.917152.1725375.7726762.0627257.9525793.5220550.5315617.0521643.7313230.478865.5514216.9214278.2910254.1213477.616914.6521952.7822901.7323982.0422707.7418594.4313964.1526595.56
176320231030홍성군14557.868914.7916941.9818602.9315635.0216948.1818869.4826862.2828339.729855.6827318.121994.816670.9824089.4313970.219148.3315619.1118259.111356.6514088.818070.5423310.3323242.724211.421073.6518247.3514328.5329241.7
176420231031홍성군14115.128780.7317726.3619391.815938.5817472.4819078.5627504.9328568.1430437.1227673.5421975.4116994.3823691.3514284.459560.9716310.0518773.6411690.0814271.8618485.9923590.324013.3824829.2121535.9318280.8314148.3929175.3